Industry report roundup: Perspectives on workers’ fears of impending layoffs, AI adoption rates, smart manufacturing tech, and more
If you’re looking for an accurate analysis of the state of the manufacturing industry, then go straight to the source: the workers. Reputable research conducted by industry organizations is invaluable when you’re trying to make decisions for your plant or your business. In this roundup, we’ll highlight the latest surveys, reports, studies, and research that delves into the trends, topics, and technologies that are affecting the manufacturing sector.
A recent survey by LeanDNA, conducted by Wakefield Research, reveals strong support for AI and digital synchronization in supply chain growth, with 92% of executives and 100% of supply chain leaders agreeing that AI-driven insights are crucial for predicting and preventing disruptions. The survey shows high expectations for ROI, with 87% of executives and 89% of supply chain leaders anticipating a positive return on AI investments within one to two years, and 39% of executives expecting ROI even sooner. C-level executives are notably more optimistic, with 24% having already seen ROI or expecting it in the next six months, compared to only 15% of supply chain leaders. In terms of strategies, 50% of supply chain leaders are prioritizing AI and machine learning, followed by diversifying suppliers (45%) and implementing supply network synchronization (39%).
In a recent quote, Andy Ellenthal, CEO of LeanDNA, said, “The C-suite and supply chain agree that supply chain professionals and business leaders expect gains from investing in AI tools, digital synchronization, and optimization. However, it also shows that they differ in what they are most concerned about if improvements are delayed. Getting in synch on the risks and reducing friction between the two groups will allow their companies to grow faster.”
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A new study conducted by PA Consulting and released by the National Electrical Manufacturers Association (NEMA) predicts that electricity demand in the U.S. will grow by 2% annually, reaching a 50% increase by 2050. The rise in demand will be driven by a 300% surge in energy consumption from data centers and a 9,000% increase for e-mobility and charging. The study highlights the regional variations in electricity demand, with the Mid-Atlantic and Texas experiencing the largest growth from data centers, and the Northeast and West seeing the largest increases due to electric vehicles. It also emphasizes the need for innovative technologies and policy solutions to meet this growing demand.
In a recent quote, Debra Phillips, President and CEO, NEMA, said, “America’s electrical system will face dramatic changes over the next 25 years. As electricity demand is set to rise for the first time in decades, we need an all-above-approach that focuses on investing in innovative technologies and prioritizing policy and regulatory certainty that will help us create the reliable and affordable energy system of the future. This study is an important step forward in achieving that, and offers a blueprint to improve grid performance, enhance reliability, and meet our shared electrification goals.”
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NTT DATA has released a new report titled "Feet on the Floor, Eyes on AI: Do you have a plan or a problem?" revealing that manufacturers globally are rapidly adopting generative AI (GenAI) to build smart factories, drive innovation, and enhance resilience. The study surveyed over 500 manufacturing leaders across 34 countries, with 95% reporting GenAI is already improving efficiency and financial performance. Additional findings show 94% expect IoT data integration to boost AI output accuracy, and 91% believe combining GenAI with digital twins will enhance asset performance and supply chain resilience.
In a recent quote, Prasoon Saxena, Co-Lead, Products Industries, NTT DATA, Inc., said, “AI is streamlining processes and redefining what’s possible across the entire manufacturing value chain, from supply chain predictions to quality control. GenAI can help organizations achieve flexibility in fast-changing business environments, especially in the face of uncertain tariff policies worldwide.”
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Deloitte has released its Smart Manufacturing and Operations study, "Navigating Challenges to Implementation," highlighting both the benefits and ongoing challenges of adopting smart manufacturing technologies. Surveyed manufacturers reported performance gains including up to 20% increases in production output and employee productivity, along with a 15% rise in unlocked capacity. Despite these improvements, companies continue to face obstacles such as talent shortages, cybersecurity risks, and complex operational transformations.
In a recent quote, Tim Gaus, Smart Manufacturing business leader and principal at Deloitte Consulting LLP, said, “The smart manufacturing journey is still emerging, but its value is undeniable. Our survey shows that most responding manufacturers agree with the need to invest in smart manufacturing but require help navigating operational complexities to see meaningful results. Smart manufacturing prepares enterprises to be ready for increased demands and, in an era where increased capacity can set companies apart, organizations that have already invested in smart manufacturing solutions will likely have an advantage – those who haven't, may not be able to defer much longer.”
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A recent UKG survey of over 5,000 U.S. frontline workers reveals widespread concern about the effects of recent U.S. trade policy changes, particularly tariffs. More than half (52%) of respondents feel at risk of being laid off, and 74% believe tariffs will negatively impact their future earnings. Additionally, 68% expect tariffs to affect their current earnings, and 77% agree that tariffs harm “Main Street” more than Wall Street. The 90-day pause on new tariffs has only added to uncertainty, with 75% saying it leaves them unsure about the future. A large majority (73%) of frontline workers wish the old tariff structure would return, and many report feeling nervous (65%), stressed (56%), and angry (56%) about the situation. Beyond financial concerns, 64% believe tariffs will make scheduling and overtime more unpredictable, and 66% think their future job opportunities will be limited.
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